Martinez W.L., Martinez A.R. Computational Statistics Handbook with MatLAB

3rd edition. — Boca Raton: CRC Press, 2016. — 730 p.Presents MatLAB code for various algorithms
Uses the authors’ freely available Computational Statistics Toolbox for MatLAB
Introduces the basic functions of MatLAB for readers unfamiliar with the software
Incorporates theory only when it offers insight for data analysis
Supplies pseudocode so readers can implement algorithms using other software packages
Contains exercises and further reading at the end of each chapter
Provides all MatLAB code, example files, and data sets for download on the book’s CRC Press web page
Figure slides are available upon qualifying course adoption.
A Strong Practical Focus on Applications and Algorithms
Computational Statistics Handbook with MatLAB, Third Edition covers today’s most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods.New to the Third EditionThis third edition is updated with the latest version of MatLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines.
The authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MatLAB code, examples, and data sets are available online.